{"id":"https://openalex.org/W7134284680","doi":"https://doi.org/10.48550/arxiv.2603.05909","title":"InfoGatherer: Principled Information Seeking via Evidence Retrieval and Strategic Questioning","display_name":"InfoGatherer: Principled Information Seeking via Evidence Retrieval and Strategic Questioning","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134284680","doi":"https://doi.org/10.48550/arxiv.2603.05909"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.05909","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094208322","display_name":"Maksym Taranukhin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taranukhin, Maksym","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022934996","display_name":"Shuyue Stella Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shuyue Stella","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013989913","display_name":"Evangelos Milios","orcid":"https://orcid.org/0000-0001-5549-4675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Milios, Evangelos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065203625","display_name":"Geoff Pleiss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pleiss, Geoff","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128405636","display_name":"Yulia Tsvetkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsvetkov, Yulia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128591249","display_name":"Vered Shwartz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shwartz, Vered","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26639005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.41659998893737793,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.41659998893737793,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.043800000101327896,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.0364999994635582,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.510699987411499},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5012999773025513},{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.4731000065803528},{"id":"https://openalex.org/keywords/information-seeking","display_name":"Information seeking","score":0.44859999418258667},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44350001215934753},{"id":"https://openalex.org/keywords/confirmation-bias","display_name":"Confirmation bias","score":0.4065000116825104},{"id":"https://openalex.org/keywords/intelligence-analysis","display_name":"Intelligence analysis","score":0.3691999912261963},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.35350000858306885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104000210762024},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.510699987411499},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5012999773025513},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.4731000065803528},{"id":"https://openalex.org/C2776636917","wikidata":"https://www.wikidata.org/wiki/Q3772297","display_name":"Information seeking","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C79585631","wikidata":"https://www.wikidata.org/wiki/Q431498","display_name":"Confirmation bias","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3537999987602234},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34950000047683716},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.34850001335144043},{"id":"https://openalex.org/C2780033181","wikidata":"https://www.wikidata.org/wiki/Q24962805","display_name":"Decision aids","level":3,"score":0.3483999967575073},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.3431999981403351},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2939999997615814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28290000557899475},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C113839178","wikidata":"https://www.wikidata.org/wiki/Q7631418","display_name":"Subjective logic","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2614000141620636},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C2777877512","wikidata":"https://www.wikidata.org/wiki/Q1116097","display_name":"Common ground","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C2776325391","wikidata":"https://www.wikidata.org/wiki/Q6917865","display_name":"Motivated reasoning","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.05909","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.05909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.05909","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.05909","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8130103945732117}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"LLMs":[0],"are":[1,28,41],"increasingly":[2],"deployed":[3],"in":[4,19,168,184],"high-stakes":[5],"domains":[6,185],"such":[7],"as":[8,15],"medical":[9,155],"triage":[10],"and":[11,30,44,57,92,114,138,154],"legal":[12,153],"assistance,":[13],"often":[14,42],"document-grounded":[16],"QA":[17],"systems":[18],"which":[20],"a":[21,24,34,45,101,129,149],"user":[22,39],"provides":[23],"description,":[25],"relevant":[26],"sources":[27,144],"retrieved,":[29],"an":[31],"LLM":[32,175],"generates":[33],"prediction.":[35],"In":[36],"practice,":[37],"initial":[38],"queries":[40],"underspecified,":[43],"single":[46],"retrieval":[47],"pass":[48],"is":[49,188],"insufficient":[50],"for":[51],"reliable":[52],"decision-making,":[53],"leading":[54],"to":[55,83,94,118,148],"incorrect":[56],"overly":[58],"confident":[59],"answers.":[60],"While":[61],"follow-up":[62,116],"questioning":[63],"can":[64],"elicit":[65],"missing":[66,105],"information,":[67],"existing":[68],"methods":[69],"typically":[70],"depend":[71],"on":[72],"implicit,":[73],"unstructured":[74],"confidence":[75],"signals":[76],"from":[77,107,142],"the":[78,119],"LLM,":[79],"making":[80],"it":[81],"difficult":[82],"determine":[84],"what":[85,88],"remains":[86],"unknown,":[87],"information":[89,106],"matters":[90],"most,":[91],"when":[93],"stop":[95],"asking":[96],"questions.":[97],"We":[98],"propose":[99],"InfoGatherer,":[100],"framework":[102],"that":[103],"gathers":[104],"two":[108],"complementary":[109],"sources:":[110],"retrieved":[111],"domain":[112],"documents":[113],"targeted":[115],"questions":[117],"user.":[120],"InfoGatherer":[121,157,177],"models":[122],"uncertainty":[123,167],"using":[124],"Dempster-Shafer":[125],"belief":[126],"assignments":[127],"over":[128],"structured":[130],"evidential":[131,170],"network,":[132],"enabling":[133],"principled":[134],"fusion":[135],"of":[136],"incomplete":[137],"potentially":[139],"contradictory":[140],"evidence":[141],"both":[143],"without":[145],"prematurely":[146],"collapsing":[147],"definitive":[150],"answer.":[151],"Across":[152],"tasks,":[156],"outperforms":[158],"strong":[159],"baselines":[160],"while":[161],"requiring":[162],"fewer":[163],"turns.":[164],"By":[165],"grounding":[166],"formal":[169],"theory":[171],"rather":[172],"than":[173],"heuristic":[174],"signals,":[176],"moves":[178],"towards":[179],"trustworthy,":[180],"interpretable":[181],"decision":[182],"support":[183],"where":[186],"reliability":[187],"critical.":[189]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-10T00:00:00"}